• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.5
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• pp.49-63
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• 2019

Crowdedness management at subway platforms is essential to improve services, including the prevention of train delays and ensuring passenger safety. Establishing effective crowdedness mitigation measures for platforms requires accurate estimation of the congestion level. There are temporal and spatial constraints since crowdedness on subway platforms is assessed at certain locations every 1-2 years by hand counting. However, smart cards generate real-time big data 24 hours a day and could be used in estimating congestion. This study proposes a model based on data from transit cards to estimate crowdedness dynamically. Crowdedness was defined as demand, which can be translated into passengers dynamically moving along a subway network. The trajectory of an individual passenger can be identified through this model. Passenger flow that concentrates or disperses at a platform is also calculated every minute. Lastly, the platform congestion level is estimated based on effective waiting areas for each platform structure.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.362-371
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• 2020

The purpose of this study is to analyze the influence of the crowdedness of dining franchise liquor shops on the perceived values and revisit intention. For this purpose, 361 customers who had visited dining franchise liquor shops located in Seoul and Gyeonggi-do areas were surveyed, and data was analyzed using AMOS 23.0 and SPSS 23.0 statistics programs. The analyses yielded the following findings. First, a higher level of crowdedness in the shop turned out to lower the perceived value of users. Second, a higher level of perceived value resulted in a higher level of revisit intent. Third, the analysis on the mediating effect of the perceived value showed that, in the relationship between the human crowdedness and revisit intention, both practical and hedonic values had mediating effects. However, in the relationship between the spatial crowdedness and the intent of revisit, the practical value had a mediating effect, while hedonic value did not exhibit such an effect. This study is meaningful in that it is presented as a theoretical establishment and an empirical study on dining franchise liquor shops.

• Journal of Korea Multimedia Society
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• v.7 no.4
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• pp.550-558
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• 2004

Previous researches on scalability problem of distributed virtual environment (DVE) have been mainly focused on spatial partitioning of area of interest (AOI). Congestion phenomena by avatar groups in AOI have been neglected relatively However, AOI congestion is highly related to scalability of DVE because it exhausts system resources such as network bandwidth and rendering time, and could be a bar to perform collaboration among participants. In this paper, this will be defined as the problem that must be solved for the realization of the scalable DVE, and a model will be proposed to measure and control congestion situation in AOI. The purposes of the proposed model are to prevent high density of participants in AOI, and to protect stable collaboration in DVE. For evaluation of the performance it is compared with a previous method by defining the resource cost model which is dynamically activated to AOI congestion.